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---
license: cc-by-nc-4.0
base_model: latif98/videomae-base-finetuned-isl-numbers
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: videomae-base-finetuned-isl-numbers_aug
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# videomae-base-finetuned-isl-numbers_aug
This model is a fine-tuned version of [latif98/videomae-base-finetuned-isl-numbers](https://huggingface.co/latif98/videomae-base-finetuned-isl-numbers) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0257
- Accuracy: 0.9930
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 4180
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.1649 | 0.2 | 836 | 0.4413 | 0.8553 |
| 0.1242 | 1.2 | 1672 | 0.1140 | 0.9682 |
| 0.0008 | 2.2 | 2508 | 0.0908 | 0.9797 |
| 0.0004 | 3.2 | 3344 | 0.0116 | 0.9957 |
| 0.0004 | 4.2 | 4180 | 0.0046 | 0.9986 |
### Framework versions
- Transformers 4.40.0
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.19.1
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